Automatic clustering for unsupervised risk diagnosis of vehicle driving for smart road

Early risk diagnosis and driving anomaly detection from vehicle stream are of great benefits in a range of advanced solutions towards Smart Road and crash prevention, although there are intrinsic challenges, especially lack of ground truth, definition of multiple risk exposures. This study proposes...

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Bibliographic Details
Main Authors: Shi, Xiupeng, Wong, Yiik Diew, Chai, Chen, Li, Michael Zhi Feng, Chen, Tianyi, Zeng, Zeng
Other Authors: School of Civil and Environmental Engineering
Format: Article
Language:English
Published: 2022
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Online Access:https://hdl.handle.net/10356/162965
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Institution: Nanyang Technological University
Language: English

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